The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an energy future that is both environmentally and economically sustainable. With locations in Golden, Boulder and Washington D.C., NREL is the primary laboratory for research, development and deployment of renewable energy technologies in the United States. The NREL mission is to develop renewable energy and energy efficient technologies and practices, advance related science and engineering, and transfer knowledge and innovation to address the nation’s energy and environmental goals.

Description

The National Renewable Energy Laboratory (NREL), Center for Transportation Technology and Systems in Golden CO has an opening for a student internship supporting a transportation data center and related analysis projects. The position is part-time (15-20 hours per week) during the school year and full time (40 hours per week) during the summer.

Responsibilities

Processing and analysis of large data sets containing real-world travel data. Tasks will include quality control processing, removal of information that could identify a study participant, and generating summary statistics. Further activities may include applying the data to study real-world impacts of advanced vehicle technologies.

Qualifications

Must be enrolled as a full-time student in a degree granting program at an accredited institution.

Minimum of a 3.0 cumulative grade point average.

Please Note:
Be sure to attach your current transcript (unoffiical transcripts are acceptable) on the “Submit Attachments” Page during the application process in order for your GPA and student status to be verified.

Pursuing a degree in engineering, transportation, computer science or mathematics/statistics. Capabilities with data analysis and programming tools such as Matlab, Excel, Python, SQL, SAS and/or Visual Basic. Proven ability to work both as part of a team and independently on assigned tasks.

Bachelor’s degree in a field of math, science, engineering or transportation, and pursuing a graduate degree in the same. Experience with transportation data analysis, such as travel survey methods, GIS/spatial analysis, and/or drive cycle simulation/characterization. Experience with database tools and/or working with large amounts of data. Familiarity with statistical techniques such as regression analysis, data expansion/weighting and uncertainty estimation when using a small survey sample to represent a larger population.